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Volumn , Issue , 2009, Pages 4125-4130

Transient disturbance detection based on Hilbert phase-shifting and wavelet de-noising

Author keywords

Disturbance detection; Hilbert phase shifting; Power quality (PQ); Wavelet de noising

Indexed keywords

DE-NOISED SIGNALS; DETECTION METHODS; DISTURBANCE DETECTION; DISTURBANCE SIGNALS; HILBERT; PHASE-SHIFTING; SIGNAL ENVELOPE; SYSTEM NOISE; TRANSIENT DISTURBANCES; TRANSIENT POWER QUALITY; TRANSIENT SIGNAL; WAVELET DENOISING;

EID: 71549164136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMI.2009.5274129     Document Type: Conference Paper
Times cited : (1)

References (7)
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    • Yang, G.-H.1    Bo-ying, W.2
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    • Li xin, Yang Yongming. The method of drawing the PD signals from white noise by wavelet analysis[J]
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    • Sun, C.1
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    • A power quality signals de-noising algorithm based on signals' multi-scales correlation and the wavelet transform theory[J]
    • Qu Yangseng, Song Zhengxiang, Wang Jianhua, et al. A power quality signals de-noising algorithm based on signals' multi-scales correlation and the wavelet transform theory[J]. Transactions of China Electrotechnical Society, vol.18,no.3,pp.111-116,2003.
    • (2003) Transactions of China Electrotechnical Society , vol.18 , Issue.3 , pp. 111-116
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    • Giaouris, D.1    Finch, J.W.2
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    • Multivariate denoising using wavelets and principal component analysis[J]
    • Mina Aminghafari, Nathalie Cheze, Jean-Michel Poggi. Multivariate denoising using wavelets and principal component analysis[J]. Computational Statistics & Data Analysis, vol.50, pp.2381 - 2398, 2006.
    • (2006) Computational Statistics & Data Analysis , vol.50 , pp. 2381-2398
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.